What This Category's Data Entails
Data for publishing-related financial market daily reports comes from publicly disclosed transaction settlement data from securities trading venues. It is updated at fixed times each day. Data is output in structured table format. Each row corresponds to daily market information for a single financial instrument. Fields include instrument code, instrument full name, daily opening transaction price, daily closing transaction price, daily price fluctuation range, total trading lots for the day, and release date. Units are yuan and lots. The data has no nested structure. Field order and names are fixed. The number of instruments covered in a single batch of data can be adjusted flexibly.
Constraints Imposed on Model Access and Configuration
Data is updated only once daily, with a narrow update window. Configure scheduled pull timing to match the fixed data release period, to avoid pulling incomplete, unupdated data. The fixed, non-nested data structure means no complex document splitting rules are required. Only specify field mapping to complete data parsing. Per-batch data volume may be large. Configure pagination pull and concurrent request parameters to balance pull efficiency and interface load. Data updates have high timeliness requirements. Configure reasonable request timeout and retry strategies to avoid failed daily data pulls due to temporary faults.
How to Set Configuration
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
scheduleCron | 15 20 * * * | Matches the daily market settlement completion time for most domestic securities exchanges, ensuring complete daily data is pulled |
batchPullSize | 50-100 | Balances single-request load and pull efficiency, avoiding request timeouts caused by overly large single-request data volumes |
fieldMappingMode | fixedSchema | Aligns with the fixed data structure of this category, eliminating the need for dynamic field adaptation and reducing mapping errors |
requestTimeout | 300 seconds | Matches the actual response duration for bulk data pulls, preventing request interruptions caused by large data volumes |
retryTimes | 2 times | Addresses temporary network fluctuations or interface rate limiting, avoiding daily data pull interruptions from a single failure |
enableThought | Enable as needed | Returns intermediate model inference reasoning processes as needed, adapting to readability requirements for content publishing |
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. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: Model calls return only final reasoning conclusions, with no intermediate thinking processes. Cause: The
enableThoughtconfiguration item is not enabled, and the interface is not instructed to return chain-of-thought content. - Phenomenon: Requests return a 429 status code, triggering a rate limiting error. Cause: Reasonable
retryTimesandbatchPullSizeparameters are not set, exceeding the call frequency and single-load limits of the data interface. - Phenomenon: Pulled data fields do not match expectations, with missing or misaligned entries. Cause: The
fixedSchemafieldMappingModeis not used, or the field mapping configuration does not match the actual data structure.
How to Confirm Configuration Is Complete
- Navigate to the model channel configuration page in FastGPT 4.9.7 or later, verify that the
scheduleCronparameter matches the target data update time. A manual test pull can be triggered, or a test request can be sent via curl command, to confirm the first request succeeds. - Call the test interface, pass a simulated bulk data request, check that returned fields align with configured mapping rules, with no missing or misaligned entries.
- Review system logs, confirm that the scheduled task triggers at the set time, request retry counts match the configured values, and there are no consecutive failures.
- After enabling the
enableThoughtconfiguration item, initiate a model call, confirm that returned results include the expected chain-of-thought content.
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.