What Data for This Category Looks Like
Yield and market trend data for the vehicle manufacturing category primarily comes from publicly traded data on domestic stock exchanges, production, sales and financial disclosure information from third-party automotive industry data service providers, and official announcements of listed vehicle manufacturing enterprises. The data is output as daily updated structured documents, which include enterprise identifiers, trading dates, core trading indicators, and operation-related fields. Field units include units, yuan, ten thousand yuan, etc. Updates follow a fixed schedule during a fixed time window after each trading day closes; no daily data updates are available on non-trading days.
Constraints Imposed on Conversation Logs and Auditing
The characteristics of vehicle manufacturing category market trend and yield data impose multiple constraints on the conversation logs and auditing workflow. Full records of data source nodes must be kept in logs for multi-source data calls, to facilitate subsequent traceability and verification. The fixed update schedule requires the auditing workflow to verify that the call time in the logs matches the data update window, to avoid calling stale data before updates are complete. The structured, fixed-field nature requires logs to record the specific field range requested during calls, to ensure returned content matches request parameters. The rule that no daily data is available on non-trading days requires the auditing workflow to synchronously record market status, to avoid being unable to locate anomalies from empty returns.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
LOG_RECORD_ENABLE | Enabled | Core dependency for conversation logs and auditing; must fully record all call interactions and data return content |
LOG_RETENTION_DAYS | 90 days | Meets general retention requirements for compliance auditing in financial scenarios, covering standard audit cycles |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Vehicle manufacturing data documents contain structured content across multiple enterprises and fields, with higher parsing time than general scenarios |
UPLOAD_FILE_MAX_SIZE | 100 MB | Monthly vehicle manufacturing market trend data documents typically contain large volumes of structured tables, requiring support for larger file uploads |
CHAT_LOG_FIELD_FILTER | Retain request parameters, returned fields, timestamps | Reduces log volume while retaining core traceability information required for auditing |
NOTIFY_ON_5XX_ERROR | Enabled | Quickly locate exceptions during calls or parsing, to facilitate timely troubleshooting |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require case-by-case analysis, and testing on local samples prior to finalization is recommended.
Three Common Misconfigurations
- Phenomenon: After calling the vehicle manufacturing yield broadcast, no corresponding conversation log is generated in the background, even though the interaction and data return have been completed. Cause: The
LOG_RECORD_ENABLEconfiguration item is not enabled, or the log collection rule filters interaction records for this scenario. - Phenomenon: A 503 error is prompted on the conversation page when uploading a vehicle manufacturing market trend document, but background logs show the file upload was successful. Cause: The
PARSE_FILE_TIMEOUT_SECONDSconfiguration value is too small; the file parsing process times out and triggers a front-end error, but the upload and parsing have been completed in the background. - Phenomenon: After configuring a variable to record call counts for vehicle manufacturing scenarios, no count updates are shown in audit logs. Cause: The trigger node for variable updates is not correctly bound in the conversation workflow, or the variable scope configuration range does not meet current scenario requirements.
How to Verify Proper Configuration
- Initiate a test call for the vehicle manufacturing yield broadcast, check whether a corresponding log entry is generated in the background, and verify that the log contains request parameters and returned fields.
- Upload a test vehicle manufacturing market trend document, check whether the front end displays the upload result normally, and simultaneously verify that the background logs record the complete upload and parsing process.
- After configuring variable update rules, initiate multiple test calls, check whether audit logs synchronously record variable update actions, and verify that the variable scope covers the current scenario.
- Trigger an abnormal request, such as calling daily data on a non-trading day, check whether a corresponding error log is generated, and confirm that the error log trigger rules match the configuration requirements.
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.