What the data for this category looks like
Data related to railway and highway yields comes from public transportation industry monitoring databases, real-time road network operation collection systems, and official operational reports for railway and highway operations. Full operational data from the previous day is updated daily, for use in that day's daily broadcast reports. Each data entry includes fields such as line identifier, affiliated region, daily traffic volume, per-mile charging standard, and daily total revenue. Field units are, respectively: string, string, 10,000 tons/person-times, yuan per kilometer, and yuan.
What constraints these characteristics impose on deployment and upgrade
The daily update requirement means fixed-interval scheduled sync tasks must be configured during deployment. The interval must match the data update rhythm to avoid data lag or resource waste. The multi-field, operation-relevant nature requires strict retention of field mapping rules during upgrades. This prevents distortion of broadcast content due to field parsing errors. The multi-data-source feature, collected separately for railways and highways, requires configuring multi-data-source access adaptation during deployment. Upgrades must support field differences between old and new data sources. Data volume grows as line coverage expands. This requires pre-configuring vector database sharding during deployment. Upgrades must include a smooth data migration plan.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
SYNC_DATA_INTERVAL | 86400 seconds | Matches the T+1 daily update rhythm of railway and highway yield data, ensuring timeliness of broadcast data |
PARSE_FIELD_MAPPING | line_id: Line ID, total_revenue: Daily Total Revenue, area_code: Area Code | Matches standard field naming for railway and highway operation data, preventing parsed data from failing proper indexing |
MAX_CONTEXT_LENGTH | 4000–6000 characters | Adapts to the text length of a single yield daily report, avoiding exceeding model context limits |
RECALL_TOP_K | Top 10 entries | Covers the number of main lines typically included in a single daily report, ensuring complete broadcast content |
VECTOR_STORE_SHARD_COUNT | 4 shards | Balances storage and query performance for newly added daily data, adapting to a medium-scale line coverage range |
FASTGPT_VERSION_COMPATIBLE | 4.8.0 and above | This and later versions support custom field mapping and multi-data-source synchronization features |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: A 404 error occurs when calling the model. Logs indicate the API path does not exist. Cause: The model access API address is not configured properly, or an incompatible model version is used, resulting in interface changes.
- Symptom: Knowledge base recall results are empty, and yield-related data cannot be retrieved. Cause: The
PARSE_FIELD_MAPPINGconfiguration does not match the actual data source fields, leading to parsed text failing proper indexing by the vector database. - Symptom: Scheduled sync tasks time out and fail. Cause:
SYNC_DATA_INTERVALis set too short, and theSYNC_DATA_TIMEOUTparameter is not adjusted, causing the single sync data volume to exceed the processing limit.
How to Confirm Configurations Are Correct
- Manually trigger a data sync task, check if all configuration fields are successfully parsed in the sync logs.
- Initiate a yield query request, verify that the returned fields match the standard data source fields.
- View vector database storage and query metrics, confirm that the number of recalled entries falls within the range configured by
RECALL_TOP_K. - Test whether the upgraded configuration is compatible with old data source formats, to avoid parsing errors after upgrade.
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.