What Data for This Category Looks Like
Data sources for commercial vehicle operating yield rate data include driving and energy consumption data collected from telematics terminals, order settlement data from freight platforms, and maintenance and depreciation data from fleet management systems. Full data aggregation for the previous day is completed every early morning. The structure of a single daily report includes Vehicle Identification Number (VIN), daily operating duration, daily driving mileage, daily freight revenue, daily fuel cost, daily maintenance cost, and daily net profit. Field units are: operating duration in hours, driving mileage in kilometers, revenue, cost, and net profit in yuan.
Constraints Imposed on Conversation Logging and Auditing
The multi-data-source stitching feature requires logs to fully record the call status, return codes, and latency of each upstream interface. This enables troubleshooting of abnormal data links during audits. The daily full data update schedule requires logs to be stored sharded by report date. This avoids excessively large single log files that reduce query efficiency. Using VIN as the unique vehicle identifier requires logs to be associated with vehicle-specific operation records. This supports retrospective audits by fleet or individual vehicle. Order settlement delays require logs to mark data source timeliness. This facilitates tracing delay causes during audits.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
LOG_RETENTION_DAYS | 30 days | Commercial vehicle operation audits typically cover monthly and quarterly cycles; 30 days meets regular audit requirements while controlling storage costs |
UPSTREAM_DATA_TIMEOUT | 120 seconds | Commercial vehicle data comes from multiple platforms; some telematics interfaces have slow response times. 120 seconds covers most normal call durations and avoids discarding valid data due to timeout |
LOG_INDEX_PARTITION_FIELD | ["vin", "report_date"] | Commercial vehicle audits often retrieve data by vehicle and date; partitioning by these two fields significantly improves query efficiency |
MAX_LOG_ENTRY_SIZE | 800 characters | A single commercial vehicle daily report log contains multiple fields; 800 characters can fully record key calculation steps and details of data source returns |
AUDIT_LOG_ENABLE | Enabled | Commercial vehicle operation data involves cost and revenue accounting; all call and calculation processes must be fully recorded to meet compliance audit requirements |
DATA_SOURCE_CACHE_TTL | 86400 seconds | Commercial vehicle daily reports are updated daily; setting the cache validity period to 1 day avoids repeated calls to old data while ensuring data timeliness |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: Calls to upstream telematics or order data sources return
500 Internal Server Erroror404 Not Found, and logs only show "Data acquisition failed" with no specific error details. Cause: TheDETAILED_ERROR_LOGparameter is not enabled, so only general error messages are recorded, making it impossible to locate specific data source interface exceptions. - Symptom: After deploying with Docker Compose and executing
docker compose down -v, conversation logs and audit logs are deleted together, making historical operations impossible to retroactively review. Cause: The log directory is not mounted to a persistent volume, local log files are cleared when the container is destroyed, and theLOG_PERSISTENT_VOLUMEparameter is not configured to specify a persistent storage path. - Symptom: Single records in generated yield rate daily report logs are truncated, making it impossible to view the complete net profit calculation process during audits. Cause: The
MAX_LOG_ENTRY_SIZEparameter is not adjusted to a value matching the field length of commercial vehicle daily reports; the default truncation threshold is too small.
How to Verify Correct Configuration
- Log in to the FastGPT backend log management module, retrieve logs for a specified Vehicle Identification Number and report date, and confirm that the corresponding records load normally.
- Trigger an upstream data source call, simulate a timeout scenario, and check that the log records complete error details and call parameters.
- View the persistent log directory mounted to the container, confirm that log files are generated according to the preset partition fields and are not automatically truncated.
- Generate an application share link, attempt to retrieve historical conversation records via the specified interface, and confirm that the interface returns valid data.
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.