What data for this category looks like
Vehicle yield rate and daily market report data is sourced from internal financial settlement systems of automakers, and terminal retail monitoring data from third-party automotive industry data service providers. The system completes collection and validation of full data for all currently available vehicle models from the previous day between 02:00 and 04:00 daily. The system stores daily report data in structured JSON array or CSV format, including fields such as vehicle unique identifier, full vehicle name, production year and month, unit production cost, official guide price, actual terminal transaction average price, channel operating cost allocation, single-vehicle accounting profit, and more. All monetary fields are denominated in RMB yuan.
Constraints imposed by these characteristics on model access and configuration
Fixed daily update windows require that model invocation scheduled tasks be staggered from the data collection window, to avoid obtaining temporary data that has not completed validation. Multi-dimensional structured fields require that clear field mapping rules be configured during model access, to ensure that fields input to the model fully match the data source. Single-vehicle dimension accounting data requires that recall rules be limited to vehicle granularity, to avoid cross-vehicle data interference. Dual data source input requirements require configuration of validation logic, to ensure that data sources input to the model have no conflicts.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
scheduleCron | 0 5 4 * * * | The data source completes updates daily between 02:00 and 04:00. Triggering one hour later ensures access to fully validated data |
recallTopK | Top 8 | The daily report contains dozens of available vehicle models. Recalling Top 8 covers the analysis needs of mainstream best-selling vehicles |
maxContext | 1200-1500 characters | The combined length of fields for a single vehicle is approximately 150 characters. The total length of 8 entries meets general context window requirements |
fieldMapping | Direct mapping by data source field names | The data source field names fully match the field names required for model input, so no additional conversion is needed |
dataSourceCheck | Enable dual-source validation | The data source includes internal systems and third-party platforms. Validation can eliminate cases of inconsistent data |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | The parsing and processing duration of a single daily report file usually does not exceed 300 seconds, to avoid timeout interruptions |
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.
Three common misconfigurations
- Phenomenon: Model invocation returns prompts such as "Invalid configuration" or "Corresponding model not found". Cause: After version 4.8.20, model configuration must be completed on the FastGPT page. Configuration in the local
oneapi.configfile no longer takes effect. - Phenomenon: Model invocation returns a
404 Interface does not existerror. Cause: The/v1path was not added after the model configuration API address, causing the request to fail to match the correct model interface. - Phenomenon: Fields in model output are missing or data is disorganized. Cause: The
fieldMappingparameter was not configured correctly, causing the model to fail to recognize the field names and structure of the data source.
How to confirm the configuration is complete
- Manually trigger a model invocation, check whether the input data source fields fully match the daily report data of the current day.
- View the model invocation logs, confirm that the scheduled task trigger time is later than the daily data source update window.
- Verify that the model output content is aggregated by vehicle granularity, with no cross-vehicle data mixing.
- Check whether the model configuration API address includes the correct
/v1path, to avoid interface invocation failures.
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.