What the data for this category looks like
Data for publishing industry yield and market daily reports is sourced from regulated financial market aggregation platforms and publicly disclosed product net value announcements. Data is fully refreshed once at a fixed time each day, with only one complete dataset released per day. The data uses a structured format, where each line corresponds to daily data for a single publishing financial product. Fields include product_code, product_full_name, net_value_per_unit, accumulated_net_value, daily_change_amount, and others. The units for net_value_per_unit and accumulated_net_value are yuan. The unit for daily_change_amount is the numerical unit of daily income change.
What constraints these characteristics impose on HTTP interfaces and external systems
The daily fixed-time full refresh requires interfaces to support scheduled trigger pulls or polling configurations that match the update cycle. This avoids invalid requests consuming resources. Structured multi-field data requires interface calls to carry complete parameter permissions, to ensure all preset fields are returned. The large batch data volume requires interfaces to support paged returns or batch pull modes, to reduce the load pressure of single transmission. The compliance attribute of financial data requires external system calls to configure strict identity verification links, to ensure data access security.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
CHAT_API_KEY | Exclusive key agreed with the external data source | Meets permission verification requirements for financial data calls, prevents unauthorized access |
SYNC_INTERVAL_SECONDS | 86400 | Matches the daily update schedule of publishing industry yield daily reports, avoids repeated pulls or delayed access to the latest data |
HTTP_REQUEST_TIMEOUT | 300 seconds | Adapts to scenarios of batch pulling data for multiple products, prevents request timeouts due to large data volume |
RESPONSE_PARSE_MODE | json_struct | Publishing yield data has structured fields. Using structured parsing mode allows direct extraction of target fields without additional cleaning |
MAX_BATCH_SIZE | 500 | Balances interface transmission efficiency and system load, adapts to the daily report data volume of a single batch of publishing products |
AUTH_TYPE | header_token | Complies with general permission verification methods for financial data interfaces, facilitates docking with compliant data source platforms |
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
- Issue: Calling the external interface returns
401 Unauthorizedafter starting withdocker-compose. Cause: TheCHAT_API_KEYenvironment variable is not configured correctly, and the container is not rebuilt to load the new environment variable configuration. - Issue: Calling the knowledge base file list interface returns an empty result. Cause: The internal debugging interface path is mistakenly used as the production interface, and the officially announced standardized external data source address is not used.
- Issue: Batch pulled yield data lacks the
accumulated_net_valuefield. Cause: The return permission for accumulated net value is not enabled in the interface parameters of the external data source, resulting in the interface only returning basic net value data.
How to confirm the configuration is correct
- Execute the
curlcommand to call the configured external interface. Check that the returned HTTP status code is200 OK, and the returned data includes the preset core fields. - View the FastGPT external system logs to confirm that the interface request has been sent successfully, with no timeout or permission error records.
- In the FastGPT application debugging interface, call the test request associated with this data source to verify that the returned yield data format matches expectations.
- Wait for a complete synchronization cycle, then check that the number of yield data entries synchronized in the knowledge base matches the public data volume of the data source.
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.